Showing 19 open source projects for "high performance computing"

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  • 1
    JeeSite

    JeeSite

    A basic enterprise information development platform

    JeeSite is a high-efficiency, high-performance, and strong security open source Java EE rapid development platform based on a number of excellent open source projects, highly integrated and packaged. JeeSite is the best basic platform solution for you to quickly complete your project. JeeSite is the best study case for you to learn the Java platform.
    Downloads: 1 This Week
    Last Update:
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  • 2
    kepler.gl

    kepler.gl

    Kepler.gl is a powerful open source geospatial analysis tool for data

    Kepler.gl is a data-agnostic, high-performance web-based application for visual exploration of large-scale geolocation data sets. Built on top of Mapbox GL and deck.gl, kepler.gl can render millions of points representing thousands of trips and perform spatial aggregations on the fly. Kepler.gl is also a React component that uses Redux to manage its state and data flow.
    Downloads: 2 This Week
    Last Update:
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  • 3
    LabPlot

    LabPlot

    Data Visualization and Analysis

    LabPlot is a FREE, open source and cross-platform Data Visualization and Analysis software accessible to everyone.
    Downloads: 10 This Week
    Last Update:
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  • 4
    Uranie

    Uranie

    Uranie is CEA's uncertainty analysis platform, based on ROOT

    ...It provides various tools for: - data analysis - sampling - statistical modeling - optimisation - sensitivity analysis - uncertainty analysis - running code on high performance computers - etc. Thanks to ROOT, it is easily scriptable in CINT (c++ like syntax) and Python. Is is available both for Unix and Windows platforms (a dedicated platform archive is available on request). Note : if you have downloaded version 3.12 before the 8th of february, a patch exists for a minor bug on TOutputFileKey file, don't hesitate to ask us.
    Downloads: 3 This Week
    Last Update:
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  • Stop vibe-debugging. Icon
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  • 5
    GridLAB-D
    GridLAB-D is a new power system simulation tool that provides valuable information to users who design and operate electric power transmission and distribution systems, and to utilities that wish to take advantage of the latest smart grid technology. It incorporates advanced modeling techniques with high-performance algorithms to deliver the latest in end-use load modeling technology integrated with three-phase unbalanced power flow, and retail market systems. Historically, the inability to effectively model and evaluate smart grid technologies has been a barrier to adoption; GridLAB-D is designed to address this problem. User documentation can be found at: http://gridlab-d.shoutwiki.com/wiki/Quick_links The source code is available from GitHub. ...
    Downloads: 9 This Week
    Last Update:
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  • 6
    Open Source Data Quality and Profiling

    Open Source Data Quality and Profiling

    World's first open source data quality & data preparation project

    ...Data Quality includes profiling, filtering, governance, similarity check, data enrichment alteration, real time alerting, basket analysis, bubble chart Warehouse validation, single customer view etc. defined by Strategy. This tool is developing high performance integrated data management platform which will seamlessly do Data Integration, Data Profiling, Data Quality, Data Preparation, Dummy Data Creation, Meta Data Discovery, Anomaly Discovery, Data Cleansing, Reporting and Analytic. It also had Hadoop ( Big data ) support to move files to/from Hadoop Grid, Create, Load and Profile Hive Tables. ...
    Downloads: 1 This Week
    Last Update:
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  • 7
    PetaVision

    PetaVision

    Accelerated Open-Source Neuromorphic Computing

    ///////// NOTICE We have migrated to GitHub: https://petavision.github.io To clone an updated repository of the PetaVision codebase, please go to our page on GitHub. ///////// PetaVision is an open source, object oriented neural simulation toolbox optimized for high-performance multi-core, multi-node computer architectures. PetaVision is intended for computational neuroscientists who seek to apply neuromorphic models to hard signal processing problems; both to improve on the performance of existing algorithms and/or to gain insight into the computational mechanisms underlying biological neural processing. ...
    Downloads: 0 This Week
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  • 8
    GISBox by Citiviz

    GISBox by Citiviz

    Ready-to-use appliance for GIS, Data Mining and Analysis, Modelling...

    GISBox by Citiviz is a ready-to-use virtual appliance containing an assortment of powerful, free and open source GIS, Data Mining and Analysis, Modelling and Programming software and packages. The pre-configured and tested GISBox allows you to try and use in few minutes a variety of software used by data scientists, engineers, physicists, mathematicians, geomatics engineers, and geographers from around the globe, without installing anything more than once the Oracle VirtualBox™ software...
    Downloads: 0 This Week
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  • 9
    minder

    minder

    Monitoring your infrastructure for free.

    This software presents a flexible and configurable proposal for monitoring and management of real and virtual HPC infrastructures, compatible with paradigm of cloud computing. We help you to answer: 1) What is the performance of my resources? 2) What equipment and resources do we have already? 3) What do we need to upgrade or repair? 4) What can we consolidate to reduce complexity or reduce energy use? 5) What resources would be better reused somewhere else? Status: PreAlpha, so any help shall be welcome. ...
    Downloads: 0 This Week
    Last Update:
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    BigQuery automates data prep, analysis, and predictions with built-in AI assistance.

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  • 10

    COS - Parallel Community Detection

    COS is a free, opensource parallel k-clique community detection method

    ...Its low memory requirements, together with its linear speedup, make it really efficient, even on dense, highly interconnected networks. COS should be the method of choice for k-clique community detection aiming at very high performance and low resource requirements.
    Downloads: 0 This Week
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  • 11
    PerfParse. Storage and analysis of binary performance data produced by Nagios. High quality accurate graphs of live data from standard Nagios plugins. Permanent history of plugin results with advanced analysis tools.
    Downloads: 0 This Week
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  • 12
    Bringing high performance computing capabilities to the NodeXL application
    Downloads: 0 This Week
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  • 13
    A high-performance implementation of bloom filters, a lightweight duplicate detection algorithm.
    Downloads: 0 This Week
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  • 14
    The Simple Versatile Plotting (SVP) tools create camera-ready plots of performance analysis data gathered from high performance computing (HPC) applications.
    Downloads: 0 This Week
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  • 15
    The Toolkit for Advanced Discriminative Modeling (TADM) is a C++ implementation for estimating the parameters of discriminative models, such as maximum entropy models. It uses the PETSc and TAO toolkits to provide high performance and scalability.
    Downloads: 0 This Week
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  • 16
    Comprehensive & high performance data distribution &transformation system. Features a simple, user-friendly event driven scripting interface transparently generates & execs highly efficient Perl/C code. Uses:ETL,datawarehousing,statistics,data-cleansing.
    Downloads: 1 This Week
    Last Update:
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  • 17
    PyVisi is the Python visualisation interface: a generic Python-based interface to many different scientific visualisation packages. PyVisi is intended for use in both standard and high-performance computing environments, and with the escript package.
    Downloads: 0 This Week
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  • 18
    Celerity, an open-source, Java based data-flow architecture that provides high performance with fine data granuality. Celerity offers a module based programming environment, which can parrellelize across processors, machines and architectures.
    Downloads: 0 This Week
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  • 19
    ktdata is a C++ library for accessing tabular data, like from CSV files. Its goals are: 1. object design 2. portability (Linux and Windows support at least) 3. high performance 4. support for common data file formats, like CSV, ARFF (Weka), etc.
    Downloads: 0 This Week
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